Check out NIPS Workshop on “Learning to Compare Examples”
Read Meila and Heckerman paper. (link from CS 598R reading list).
Estimate Log with Taylor-series expansion for quick evaluation – ask Hal
Read Russell and Norvig sections on EM and MCMC for approximate Bayesian inference. Compare with Gauss-Streidel.
Contact Teg to get access to his EM + Gibbs Sampler code as another clusterer to try on our data.
Read Fast Clustering Papers and supplement bibliography
Read Bekkerman & Mccallum paper from 2005 ICML on co-clustering
Get Griffiths & Steyvers LDA code – using Gibbs Sampling
Read Radford Neal Technical Report “Markov chain sampling methods for Dirichlet process mixture models” from 1998
Investigate Multi-view Clustering (like Multi-view Classification) – ref.: Sanjoy Dasgupta and Inderjeet Dhillin.
“Product of Experts – ref.: Geoff Hinton
Look into prior work on using graph cuts and flows to cluster documents